Content analysis examines how AI is integrated into journalism education, revealing diverse approaches and implications for teaching.
As artificial intelligence (AI) becomes embedded in journalism, educators face the challenge of determining its place in undergraduate instruction. This study analyzes undergraduate journalism syllabi ( N = 60) from ACEJMC-accredited programs to examine how AI is framed across writing, production, visual/data, and ethics courses. Guided by a constructionist framing perspective, a qualitative content analysis identified three patterns: AI as a threat to learning and professional standards, AI as a tool permitted under strict boundaries, and AI as a subject of ethical and professional inquiry. Findings reveal uneven approaches shaped by instructor discretion, underscoring the need for coherent curricular strategies.
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Muzhingi et al. (2026) studied this question.
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